INFO 2019-11-05 02:16:17,634Z lrauvNc4ToNetcdf.py processResampleNc4File():979 Reading /mbari/LRAUV/whoidhs/missionlogs/2019/20191104_20191105/20191105T003835/201911050038_201911050044.nc4 file... INFO 2019-11-05 02:16:17,635Z lrauvNc4ToNetcdf.py processResampleNc4File():980 After copying to /tmp/201911050038_201911050044.nc4 INFO 2019-11-05 02:16:21,525Z lrauvNc4ToNetcdf.py processResampleNc4File():982 Read file /mbari/LRAUV/whoidhs/missionlogs/2019/20191104_20191105/20191105T003835/201911050038_201911050044.nc4 INFO 2019-11-05 02:16:21,543Z lrauvNc4ToNetcdf.py createSeries():225 latitude: v_t values found before 2019-11-05 00:38:00 and after 2019-11-05 00:44:00: [803 804 805 806 807 808 809 810 811 812 813 814 815 816 817 818 819 820 821 822 823 824 825 826 827 828 829 830 831 832 833 834 835 836 837 838 839 840 841 842 843 844 845 846 847 848 849 850 851 852 853 854 855 856 857 858 859 860 861 862 863] INFO 2019-11-05 02:16:21,551Z lrauvNc4ToNetcdf.py createSeries():226 Their times: ['Tue Nov 5 00:44:00 2019', 'Tue Nov 5 00:44:00 2019', 'Tue Nov 5 00:44:01 2019', 'Tue Nov 5 00:44:01 2019', 'Tue Nov 5 00:44:01 2019', 'Tue Nov 5 00:44:02 2019', 'Tue Nov 5 00:44:02 2019', 'Tue Nov 5 00:44:03 2019', 'Tue Nov 5 00:44:03 2019', 'Tue Nov 5 00:44:03 2019', 'Tue Nov 5 00:44:04 2019', 'Tue Nov 5 00:44:04 2019', 'Tue Nov 5 00:44:05 2019', 'Tue Nov 5 00:44:05 2019', 'Tue Nov 5 00:44:05 2019', 'Tue Nov 5 00:44:06 2019', 'Tue Nov 5 00:44:06 2019', 'Tue Nov 5 00:44:07 2019', 'Tue Nov 5 00:44:07 2019', 'Tue Nov 5 00:44:07 2019', 'Tue Nov 5 00:44:08 2019', 'Tue Nov 5 00:44:08 2019', 'Tue Nov 5 00:44:09 2019', 'Tue Nov 5 00:44:09 2019', 'Tue Nov 5 00:44:10 2019', 'Tue Nov 5 00:44:10 2019', 'Tue Nov 5 00:44:10 2019', 'Tue Nov 5 00:44:11 2019', 'Tue Nov 5 00:44:11 2019', 'Tue Nov 5 00:44:12 2019', 'Tue Nov 5 00:44:12 2019', 'Tue Nov 5 00:44:12 2019', 'Tue Nov 5 00:44:13 2019', 'Tue Nov 5 00:44:13 2019', 'Tue Nov 5 00:44:14 2019', 'Tue Nov 5 00:44:14 2019', 'Tue Nov 5 00:44:14 2019', 'Tue Nov 5 00:44:15 2019', 'Tue Nov 5 00:44:15 2019', 'Tue Nov 5 00:44:16 2019', 'Tue Nov 5 00:44:16 2019', 'Tue Nov 5 00:44:16 2019', 'Tue Nov 5 00:44:17 2019', 'Tue Nov 5 00:44:17 2019', 'Tue Nov 5 00:44:18 2019', 'Tue Nov 5 00:44:18 2019', 'Tue Nov 5 00:44:18 2019', 'Tue Nov 5 00:44:19 2019', 'Tue Nov 5 00:44:19 2019', 'Tue Nov 5 00:44:20 2019', 'Tue Nov 5 00:44:20 2019', 'Tue Nov 5 00:44:20 2019', 'Tue Nov 5 00:44:21 2019', 'Tue Nov 5 00:44:21 2019', 'Tue Nov 5 00:44:22 2019', 'Tue Nov 5 00:44:22 2019', 'Tue Nov 5 00:44:22 2019', 'Tue Nov 5 00:44:23 2019', 'Tue Nov 5 00:44:23 2019', 'Tue Nov 5 00:44:24 2019', 'Tue Nov 5 00:44:24 2019'] INFO 2019-11-05 02:16:21,559Z lrauvNc4ToNetcdf.py createSeries():227 Removing them: [1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09] for variable latitude INFO 2019-11-05 02:16:21,596Z lrauvNc4ToNetcdf.py createSeries():225 longitude: v_t values found before 2019-11-05 00:38:00 and after 2019-11-05 00:44:00: [803 804 805 806 807 808 809 810 811 812 813 814 815 816 817 818 819 820 821 822 823 824 825 826 827 828 829 830 831 832 833 834 835 836 837 838 839 840 841 842 843 844 845 846 847 848 849 850 851 852 853 854 855 856 857 858 859 860 861 862 863] INFO 2019-11-05 02:16:21,604Z lrauvNc4ToNetcdf.py createSeries():226 Their times: ['Tue Nov 5 00:44:00 2019', 'Tue Nov 5 00:44:00 2019', 'Tue Nov 5 00:44:01 2019', 'Tue Nov 5 00:44:01 2019', 'Tue Nov 5 00:44:01 2019', 'Tue Nov 5 00:44:02 2019', 'Tue Nov 5 00:44:02 2019', 'Tue Nov 5 00:44:03 2019', 'Tue Nov 5 00:44:03 2019', 'Tue Nov 5 00:44:03 2019', 'Tue Nov 5 00:44:04 2019', 'Tue Nov 5 00:44:04 2019', 'Tue Nov 5 00:44:05 2019', 'Tue Nov 5 00:44:05 2019', 'Tue Nov 5 00:44:05 2019', 'Tue Nov 5 00:44:06 2019', 'Tue Nov 5 00:44:06 2019', 'Tue Nov 5 00:44:07 2019', 'Tue Nov 5 00:44:07 2019', 'Tue Nov 5 00:44:07 2019', 'Tue Nov 5 00:44:08 2019', 'Tue Nov 5 00:44:08 2019', 'Tue Nov 5 00:44:09 2019', 'Tue Nov 5 00:44:09 2019', 'Tue Nov 5 00:44:10 2019', 'Tue Nov 5 00:44:10 2019', 'Tue Nov 5 00:44:10 2019', 'Tue Nov 5 00:44:11 2019', 'Tue Nov 5 00:44:11 2019', 'Tue Nov 5 00:44:12 2019', 'Tue Nov 5 00:44:12 2019', 'Tue Nov 5 00:44:12 2019', 'Tue Nov 5 00:44:13 2019', 'Tue Nov 5 00:44:13 2019', 'Tue Nov 5 00:44:14 2019', 'Tue Nov 5 00:44:14 2019', 'Tue Nov 5 00:44:14 2019', 'Tue Nov 5 00:44:15 2019', 'Tue Nov 5 00:44:15 2019', 'Tue Nov 5 00:44:16 2019', 'Tue Nov 5 00:44:16 2019', 'Tue Nov 5 00:44:16 2019', 'Tue Nov 5 00:44:17 2019', 'Tue Nov 5 00:44:17 2019', 'Tue Nov 5 00:44:18 2019', 'Tue Nov 5 00:44:18 2019', 'Tue Nov 5 00:44:18 2019', 'Tue Nov 5 00:44:19 2019', 'Tue Nov 5 00:44:19 2019', 'Tue Nov 5 00:44:20 2019', 'Tue Nov 5 00:44:20 2019', 'Tue Nov 5 00:44:20 2019', 'Tue Nov 5 00:44:21 2019', 'Tue Nov 5 00:44:21 2019', 'Tue Nov 5 00:44:22 2019', 'Tue Nov 5 00:44:22 2019', 'Tue Nov 5 00:44:22 2019', 'Tue Nov 5 00:44:23 2019', 'Tue Nov 5 00:44:23 2019', 'Tue Nov 5 00:44:24 2019', 'Tue Nov 5 00:44:24 2019'] INFO 2019-11-05 02:16:21,611Z lrauvNc4ToNetcdf.py createSeries():227 Removing them: [1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09] for variable longitude INFO 2019-11-05 02:16:21,647Z lrauvNc4ToNetcdf.py createSeries():225 depth: v_t values found before 2019-11-05 00:38:00 and after 2019-11-05 00:44:00: [802 803 804 805 806 807 808 809 810 811 812 813 814 815 816 817 818 819 820 821 822 823 824 825 826 827 828 829 830 831 832 833 834 835 836 837 838 839 840 841 842 843 844 845 846 847 848 849 850 851 852 853 854 855 856 857 858 859 860 861 862] INFO 2019-11-05 02:16:21,655Z lrauvNc4ToNetcdf.py createSeries():226 Their times: ['Tue Nov 5 00:44:00 2019', 'Tue Nov 5 00:44:00 2019', 'Tue Nov 5 00:44:01 2019', 'Tue Nov 5 00:44:01 2019', 'Tue Nov 5 00:44:01 2019', 'Tue Nov 5 00:44:02 2019', 'Tue Nov 5 00:44:02 2019', 'Tue Nov 5 00:44:03 2019', 'Tue Nov 5 00:44:03 2019', 'Tue Nov 5 00:44:03 2019', 'Tue Nov 5 00:44:04 2019', 'Tue Nov 5 00:44:04 2019', 'Tue Nov 5 00:44:05 2019', 'Tue Nov 5 00:44:05 2019', 'Tue Nov 5 00:44:05 2019', 'Tue Nov 5 00:44:06 2019', 'Tue Nov 5 00:44:06 2019', 'Tue Nov 5 00:44:07 2019', 'Tue Nov 5 00:44:07 2019', 'Tue Nov 5 00:44:07 2019', 'Tue Nov 5 00:44:08 2019', 'Tue Nov 5 00:44:08 2019', 'Tue Nov 5 00:44:09 2019', 'Tue Nov 5 00:44:09 2019', 'Tue Nov 5 00:44:09 2019', 'Tue Nov 5 00:44:10 2019', 'Tue Nov 5 00:44:10 2019', 'Tue Nov 5 00:44:11 2019', 'Tue Nov 5 00:44:11 2019', 'Tue Nov 5 00:44:11 2019', 'Tue Nov 5 00:44:12 2019', 'Tue Nov 5 00:44:12 2019', 'Tue Nov 5 00:44:13 2019', 'Tue Nov 5 00:44:13 2019', 'Tue Nov 5 00:44:13 2019', 'Tue Nov 5 00:44:14 2019', 'Tue Nov 5 00:44:14 2019', 'Tue Nov 5 00:44:15 2019', 'Tue Nov 5 00:44:15 2019', 'Tue Nov 5 00:44:16 2019', 'Tue Nov 5 00:44:16 2019', 'Tue Nov 5 00:44:16 2019', 'Tue Nov 5 00:44:17 2019', 'Tue Nov 5 00:44:17 2019', 'Tue Nov 5 00:44:18 2019', 'Tue Nov 5 00:44:18 2019', 'Tue Nov 5 00:44:18 2019', 'Tue Nov 5 00:44:19 2019', 'Tue Nov 5 00:44:19 2019', 'Tue Nov 5 00:44:20 2019', 'Tue Nov 5 00:44:20 2019', 'Tue Nov 5 00:44:20 2019', 'Tue Nov 5 00:44:21 2019', 'Tue Nov 5 00:44:21 2019', 'Tue Nov 5 00:44:22 2019', 'Tue Nov 5 00:44:22 2019', 'Tue Nov 5 00:44:22 2019', 'Tue Nov 5 00:44:23 2019', 'Tue Nov 5 00:44:23 2019', 'Tue Nov 5 00:44:24 2019', 'Tue Nov 5 00:44:24 2019'] INFO 2019-11-05 02:16:21,662Z lrauvNc4ToNetcdf.py createSeries():227 Removing them: [1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09] for variable depth INFO 2019-11-05 02:16:21,698Z lrauvNc4ToNetcdf.py createSeries():225 time: v_t values found before 2019-11-05 00:38:00 and after 2019-11-05 00:44:00: [802 803 804 805 806 807 808 809 810 811 812 813 814 815 816 817 818 819 820 821 822 823 824 825 826 827 828 829 830 831 832 833 834 835 836 837 838 839 840 841 842 843 844 845 846 847 848 849 850 851 852 853 854 855 856 857 858 859 860 861 862] INFO 2019-11-05 02:16:21,706Z lrauvNc4ToNetcdf.py createSeries():226 Their times: ['Tue Nov 5 00:44:00 2019', 'Tue Nov 5 00:44:00 2019', 'Tue Nov 5 00:44:01 2019', 'Tue Nov 5 00:44:01 2019', 'Tue Nov 5 00:44:01 2019', 'Tue Nov 5 00:44:02 2019', 'Tue Nov 5 00:44:02 2019', 'Tue Nov 5 00:44:03 2019', 'Tue Nov 5 00:44:03 2019', 'Tue Nov 5 00:44:03 2019', 'Tue Nov 5 00:44:04 2019', 'Tue Nov 5 00:44:04 2019', 'Tue Nov 5 00:44:05 2019', 'Tue Nov 5 00:44:05 2019', 'Tue Nov 5 00:44:05 2019', 'Tue Nov 5 00:44:06 2019', 'Tue Nov 5 00:44:06 2019', 'Tue Nov 5 00:44:07 2019', 'Tue Nov 5 00:44:07 2019', 'Tue Nov 5 00:44:07 2019', 'Tue Nov 5 00:44:08 2019', 'Tue Nov 5 00:44:08 2019', 'Tue Nov 5 00:44:09 2019', 'Tue Nov 5 00:44:09 2019', 'Tue Nov 5 00:44:09 2019', 'Tue Nov 5 00:44:10 2019', 'Tue Nov 5 00:44:10 2019', 'Tue Nov 5 00:44:11 2019', 'Tue Nov 5 00:44:11 2019', 'Tue Nov 5 00:44:11 2019', 'Tue Nov 5 00:44:12 2019', 'Tue Nov 5 00:44:12 2019', 'Tue Nov 5 00:44:13 2019', 'Tue Nov 5 00:44:13 2019', 'Tue Nov 5 00:44:13 2019', 'Tue Nov 5 00:44:14 2019', 'Tue Nov 5 00:44:14 2019', 'Tue Nov 5 00:44:15 2019', 'Tue Nov 5 00:44:15 2019', 'Tue Nov 5 00:44:16 2019', 'Tue Nov 5 00:44:16 2019', 'Tue Nov 5 00:44:16 2019', 'Tue Nov 5 00:44:17 2019', 'Tue Nov 5 00:44:17 2019', 'Tue Nov 5 00:44:18 2019', 'Tue Nov 5 00:44:18 2019', 'Tue Nov 5 00:44:18 2019', 'Tue Nov 5 00:44:19 2019', 'Tue Nov 5 00:44:19 2019', 'Tue Nov 5 00:44:20 2019', 'Tue Nov 5 00:44:20 2019', 'Tue Nov 5 00:44:20 2019', 'Tue Nov 5 00:44:21 2019', 'Tue Nov 5 00:44:21 2019', 'Tue Nov 5 00:44:22 2019', 'Tue Nov 5 00:44:22 2019', 'Tue Nov 5 00:44:22 2019', 'Tue Nov 5 00:44:23 2019', 'Tue Nov 5 00:44:23 2019', 'Tue Nov 5 00:44:24 2019', 'Tue Nov 5 00:44:24 2019'] INFO 2019-11-05 02:16:21,713Z lrauvNc4ToNetcdf.py createSeries():227 Removing them: [1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09] for variable time INFO 2019-11-05 02:16:21,749Z lrauvNc4ToNetcdf.py createSeries():225 latitude: v_t values found before 2019-11-05 00:38:00 and after 2019-11-05 00:44:00: [803 804 805 806 807 808 809 810 811 812 813 814 815 816 817 818 819 820 821 822 823 824 825 826 827 828 829 830 831 832 833 834 835 836 837 838 839 840 841 842 843 844 845 846 847 848 849 850 851 852 853 854 855 856 857 858 859 860 861 862 863] INFO 2019-11-05 02:16:21,757Z lrauvNc4ToNetcdf.py createSeries():226 Their times: ['Tue Nov 5 00:44:00 2019', 'Tue Nov 5 00:44:00 2019', 'Tue Nov 5 00:44:01 2019', 'Tue Nov 5 00:44:01 2019', 'Tue Nov 5 00:44:01 2019', 'Tue Nov 5 00:44:02 2019', 'Tue Nov 5 00:44:02 2019', 'Tue Nov 5 00:44:03 2019', 'Tue Nov 5 00:44:03 2019', 'Tue Nov 5 00:44:03 2019', 'Tue Nov 5 00:44:04 2019', 'Tue Nov 5 00:44:04 2019', 'Tue Nov 5 00:44:05 2019', 'Tue Nov 5 00:44:05 2019', 'Tue Nov 5 00:44:05 2019', 'Tue Nov 5 00:44:06 2019', 'Tue Nov 5 00:44:06 2019', 'Tue Nov 5 00:44:07 2019', 'Tue Nov 5 00:44:07 2019', 'Tue Nov 5 00:44:07 2019', 'Tue Nov 5 00:44:08 2019', 'Tue Nov 5 00:44:08 2019', 'Tue Nov 5 00:44:09 2019', 'Tue Nov 5 00:44:09 2019', 'Tue Nov 5 00:44:10 2019', 'Tue Nov 5 00:44:10 2019', 'Tue Nov 5 00:44:10 2019', 'Tue Nov 5 00:44:11 2019', 'Tue Nov 5 00:44:11 2019', 'Tue Nov 5 00:44:12 2019', 'Tue Nov 5 00:44:12 2019', 'Tue Nov 5 00:44:12 2019', 'Tue Nov 5 00:44:13 2019', 'Tue Nov 5 00:44:13 2019', 'Tue Nov 5 00:44:14 2019', 'Tue Nov 5 00:44:14 2019', 'Tue Nov 5 00:44:14 2019', 'Tue Nov 5 00:44:15 2019', 'Tue Nov 5 00:44:15 2019', 'Tue Nov 5 00:44:16 2019', 'Tue Nov 5 00:44:16 2019', 'Tue Nov 5 00:44:16 2019', 'Tue Nov 5 00:44:17 2019', 'Tue Nov 5 00:44:17 2019', 'Tue Nov 5 00:44:18 2019', 'Tue Nov 5 00:44:18 2019', 'Tue Nov 5 00:44:18 2019', 'Tue Nov 5 00:44:19 2019', 'Tue Nov 5 00:44:19 2019', 'Tue Nov 5 00:44:20 2019', 'Tue Nov 5 00:44:20 2019', 'Tue Nov 5 00:44:20 2019', 'Tue Nov 5 00:44:21 2019', 'Tue Nov 5 00:44:21 2019', 'Tue Nov 5 00:44:22 2019', 'Tue Nov 5 00:44:22 2019', 'Tue Nov 5 00:44:22 2019', 'Tue Nov 5 00:44:23 2019', 'Tue Nov 5 00:44:23 2019', 'Tue Nov 5 00:44:24 2019', 'Tue Nov 5 00:44:24 2019'] INFO 2019-11-05 02:16:21,764Z lrauvNc4ToNetcdf.py createSeries():227 Removing them: [1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09] for variable latitude INFO 2019-11-05 02:16:21,800Z lrauvNc4ToNetcdf.py createSeries():225 longitude: v_t values found before 2019-11-05 00:38:00 and after 2019-11-05 00:44:00: [803 804 805 806 807 808 809 810 811 812 813 814 815 816 817 818 819 820 821 822 823 824 825 826 827 828 829 830 831 832 833 834 835 836 837 838 839 840 841 842 843 844 845 846 847 848 849 850 851 852 853 854 855 856 857 858 859 860 861 862 863] INFO 2019-11-05 02:16:21,807Z lrauvNc4ToNetcdf.py createSeries():226 Their times: ['Tue Nov 5 00:44:00 2019', 'Tue Nov 5 00:44:00 2019', 'Tue Nov 5 00:44:01 2019', 'Tue Nov 5 00:44:01 2019', 'Tue Nov 5 00:44:01 2019', 'Tue Nov 5 00:44:02 2019', 'Tue Nov 5 00:44:02 2019', 'Tue Nov 5 00:44:03 2019', 'Tue Nov 5 00:44:03 2019', 'Tue Nov 5 00:44:03 2019', 'Tue Nov 5 00:44:04 2019', 'Tue Nov 5 00:44:04 2019', 'Tue Nov 5 00:44:05 2019', 'Tue Nov 5 00:44:05 2019', 'Tue Nov 5 00:44:05 2019', 'Tue Nov 5 00:44:06 2019', 'Tue Nov 5 00:44:06 2019', 'Tue Nov 5 00:44:07 2019', 'Tue Nov 5 00:44:07 2019', 'Tue Nov 5 00:44:07 2019', 'Tue Nov 5 00:44:08 2019', 'Tue Nov 5 00:44:08 2019', 'Tue Nov 5 00:44:09 2019', 'Tue Nov 5 00:44:09 2019', 'Tue Nov 5 00:44:10 2019', 'Tue Nov 5 00:44:10 2019', 'Tue Nov 5 00:44:10 2019', 'Tue Nov 5 00:44:11 2019', 'Tue Nov 5 00:44:11 2019', 'Tue Nov 5 00:44:12 2019', 'Tue Nov 5 00:44:12 2019', 'Tue Nov 5 00:44:12 2019', 'Tue Nov 5 00:44:13 2019', 'Tue Nov 5 00:44:13 2019', 'Tue Nov 5 00:44:14 2019', 'Tue Nov 5 00:44:14 2019', 'Tue Nov 5 00:44:14 2019', 'Tue Nov 5 00:44:15 2019', 'Tue Nov 5 00:44:15 2019', 'Tue Nov 5 00:44:16 2019', 'Tue Nov 5 00:44:16 2019', 'Tue Nov 5 00:44:16 2019', 'Tue Nov 5 00:44:17 2019', 'Tue Nov 5 00:44:17 2019', 'Tue Nov 5 00:44:18 2019', 'Tue Nov 5 00:44:18 2019', 'Tue Nov 5 00:44:18 2019', 'Tue Nov 5 00:44:19 2019', 'Tue Nov 5 00:44:19 2019', 'Tue Nov 5 00:44:20 2019', 'Tue Nov 5 00:44:20 2019', 'Tue Nov 5 00:44:20 2019', 'Tue Nov 5 00:44:21 2019', 'Tue Nov 5 00:44:21 2019', 'Tue Nov 5 00:44:22 2019', 'Tue Nov 5 00:44:22 2019', 'Tue Nov 5 00:44:22 2019', 'Tue Nov 5 00:44:23 2019', 'Tue Nov 5 00:44:23 2019', 'Tue Nov 5 00:44:24 2019', 'Tue Nov 5 00:44:24 2019'] INFO 2019-11-05 02:16:21,815Z lrauvNc4ToNetcdf.py createSeries():227 Removing them: [1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09] for variable longitude INFO 2019-11-05 02:16:21,852Z lrauvNc4ToNetcdf.py createSeries():225 depth: v_t values found before 2019-11-05 00:38:00 and after 2019-11-05 00:44:00: [802 803 804 805 806 807 808 809 810 811 812 813 814 815 816 817 818 819 820 821 822 823 824 825 826 827 828 829 830 831 832 833 834 835 836 837 838 839 840 841 842 843 844 845 846 847 848 849 850 851 852 853 854 855 856 857 858 859 860 861 862] INFO 2019-11-05 02:16:21,859Z lrauvNc4ToNetcdf.py createSeries():226 Their times: ['Tue Nov 5 00:44:00 2019', 'Tue Nov 5 00:44:00 2019', 'Tue Nov 5 00:44:01 2019', 'Tue Nov 5 00:44:01 2019', 'Tue Nov 5 00:44:01 2019', 'Tue Nov 5 00:44:02 2019', 'Tue Nov 5 00:44:02 2019', 'Tue Nov 5 00:44:03 2019', 'Tue Nov 5 00:44:03 2019', 'Tue Nov 5 00:44:03 2019', 'Tue Nov 5 00:44:04 2019', 'Tue Nov 5 00:44:04 2019', 'Tue Nov 5 00:44:05 2019', 'Tue Nov 5 00:44:05 2019', 'Tue Nov 5 00:44:05 2019', 'Tue Nov 5 00:44:06 2019', 'Tue Nov 5 00:44:06 2019', 'Tue Nov 5 00:44:07 2019', 'Tue Nov 5 00:44:07 2019', 'Tue Nov 5 00:44:07 2019', 'Tue Nov 5 00:44:08 2019', 'Tue Nov 5 00:44:08 2019', 'Tue Nov 5 00:44:09 2019', 'Tue Nov 5 00:44:09 2019', 'Tue Nov 5 00:44:09 2019', 'Tue Nov 5 00:44:10 2019', 'Tue Nov 5 00:44:10 2019', 'Tue Nov 5 00:44:11 2019', 'Tue Nov 5 00:44:11 2019', 'Tue Nov 5 00:44:11 2019', 'Tue Nov 5 00:44:12 2019', 'Tue Nov 5 00:44:12 2019', 'Tue Nov 5 00:44:13 2019', 'Tue Nov 5 00:44:13 2019', 'Tue Nov 5 00:44:13 2019', 'Tue Nov 5 00:44:14 2019', 'Tue Nov 5 00:44:14 2019', 'Tue Nov 5 00:44:15 2019', 'Tue Nov 5 00:44:15 2019', 'Tue Nov 5 00:44:16 2019', 'Tue Nov 5 00:44:16 2019', 'Tue Nov 5 00:44:16 2019', 'Tue Nov 5 00:44:17 2019', 'Tue Nov 5 00:44:17 2019', 'Tue Nov 5 00:44:18 2019', 'Tue Nov 5 00:44:18 2019', 'Tue Nov 5 00:44:18 2019', 'Tue Nov 5 00:44:19 2019', 'Tue Nov 5 00:44:19 2019', 'Tue Nov 5 00:44:20 2019', 'Tue Nov 5 00:44:20 2019', 'Tue Nov 5 00:44:20 2019', 'Tue Nov 5 00:44:21 2019', 'Tue Nov 5 00:44:21 2019', 'Tue Nov 5 00:44:22 2019', 'Tue Nov 5 00:44:22 2019', 'Tue Nov 5 00:44:22 2019', 'Tue Nov 5 00:44:23 2019', 'Tue Nov 5 00:44:23 2019', 'Tue Nov 5 00:44:24 2019', 'Tue Nov 5 00:44:24 2019'] INFO 2019-11-05 02:16:21,867Z lrauvNc4ToNetcdf.py createSeries():227 Removing them: [1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09] for variable depth INFO 2019-11-05 02:16:21,902Z lrauvNc4ToNetcdf.py createSeries():225 time: v_t values found before 2019-11-05 00:38:00 and after 2019-11-05 00:44:00: [802 803 804 805 806 807 808 809 810 811 812 813 814 815 816 817 818 819 820 821 822 823 824 825 826 827 828 829 830 831 832 833 834 835 836 837 838 839 840 841 842 843 844 845 846 847 848 849 850 851 852 853 854 855 856 857 858 859 860 861 862] INFO 2019-11-05 02:16:21,910Z lrauvNc4ToNetcdf.py createSeries():226 Their times: ['Tue Nov 5 00:44:00 2019', 'Tue Nov 5 00:44:00 2019', 'Tue Nov 5 00:44:01 2019', 'Tue Nov 5 00:44:01 2019', 'Tue Nov 5 00:44:01 2019', 'Tue Nov 5 00:44:02 2019', 'Tue Nov 5 00:44:02 2019', 'Tue Nov 5 00:44:03 2019', 'Tue Nov 5 00:44:03 2019', 'Tue Nov 5 00:44:03 2019', 'Tue Nov 5 00:44:04 2019', 'Tue Nov 5 00:44:04 2019', 'Tue Nov 5 00:44:05 2019', 'Tue Nov 5 00:44:05 2019', 'Tue Nov 5 00:44:05 2019', 'Tue Nov 5 00:44:06 2019', 'Tue Nov 5 00:44:06 2019', 'Tue Nov 5 00:44:07 2019', 'Tue Nov 5 00:44:07 2019', 'Tue Nov 5 00:44:07 2019', 'Tue Nov 5 00:44:08 2019', 'Tue Nov 5 00:44:08 2019', 'Tue Nov 5 00:44:09 2019', 'Tue Nov 5 00:44:09 2019', 'Tue Nov 5 00:44:09 2019', 'Tue Nov 5 00:44:10 2019', 'Tue Nov 5 00:44:10 2019', 'Tue Nov 5 00:44:11 2019', 'Tue Nov 5 00:44:11 2019', 'Tue Nov 5 00:44:11 2019', 'Tue Nov 5 00:44:12 2019', 'Tue Nov 5 00:44:12 2019', 'Tue Nov 5 00:44:13 2019', 'Tue Nov 5 00:44:13 2019', 'Tue Nov 5 00:44:13 2019', 'Tue Nov 5 00:44:14 2019', 'Tue Nov 5 00:44:14 2019', 'Tue Nov 5 00:44:15 2019', 'Tue Nov 5 00:44:15 2019', 'Tue Nov 5 00:44:16 2019', 'Tue Nov 5 00:44:16 2019', 'Tue Nov 5 00:44:16 2019', 'Tue Nov 5 00:44:17 2019', 'Tue Nov 5 00:44:17 2019', 'Tue Nov 5 00:44:18 2019', 'Tue Nov 5 00:44:18 2019', 'Tue Nov 5 00:44:18 2019', 'Tue Nov 5 00:44:19 2019', 'Tue Nov 5 00:44:19 2019', 'Tue Nov 5 00:44:20 2019', 'Tue Nov 5 00:44:20 2019', 'Tue Nov 5 00:44:20 2019', 'Tue Nov 5 00:44:21 2019', 'Tue Nov 5 00:44:21 2019', 'Tue Nov 5 00:44:22 2019', 'Tue Nov 5 00:44:22 2019', 'Tue Nov 5 00:44:22 2019', 'Tue Nov 5 00:44:23 2019', 'Tue Nov 5 00:44:23 2019', 'Tue Nov 5 00:44:24 2019', 'Tue Nov 5 00:44:24 2019'] INFO 2019-11-05 02:16:21,917Z lrauvNc4ToNetcdf.py createSeries():227 Removing them: [1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09] for variable time INFO 2019-11-05 02:16:21,953Z lrauvNc4ToNetcdf.py createSeries():225 latitude: v_t values found before 2019-11-05 00:38:00 and after 2019-11-05 00:44:00: [803 804 805 806 807 808 809 810 811 812 813 814 815 816 817 818 819 820 821 822 823 824 825 826 827 828 829 830 831 832 833 834 835 836 837 838 839 840 841 842 843 844 845 846 847 848 849 850 851 852 853 854 855 856 857 858 859 860 861 862 863] INFO 2019-11-05 02:16:21,960Z lrauvNc4ToNetcdf.py createSeries():226 Their times: ['Tue Nov 5 00:44:00 2019', 'Tue Nov 5 00:44:00 2019', 'Tue Nov 5 00:44:01 2019', 'Tue Nov 5 00:44:01 2019', 'Tue Nov 5 00:44:01 2019', 'Tue Nov 5 00:44:02 2019', 'Tue Nov 5 00:44:02 2019', 'Tue Nov 5 00:44:03 2019', 'Tue Nov 5 00:44:03 2019', 'Tue Nov 5 00:44:03 2019', 'Tue Nov 5 00:44:04 2019', 'Tue Nov 5 00:44:04 2019', 'Tue Nov 5 00:44:05 2019', 'Tue Nov 5 00:44:05 2019', 'Tue Nov 5 00:44:05 2019', 'Tue Nov 5 00:44:06 2019', 'Tue Nov 5 00:44:06 2019', 'Tue Nov 5 00:44:07 2019', 'Tue Nov 5 00:44:07 2019', 'Tue Nov 5 00:44:07 2019', 'Tue Nov 5 00:44:08 2019', 'Tue Nov 5 00:44:08 2019', 'Tue Nov 5 00:44:09 2019', 'Tue Nov 5 00:44:09 2019', 'Tue Nov 5 00:44:10 2019', 'Tue Nov 5 00:44:10 2019', 'Tue Nov 5 00:44:10 2019', 'Tue Nov 5 00:44:11 2019', 'Tue Nov 5 00:44:11 2019', 'Tue Nov 5 00:44:12 2019', 'Tue Nov 5 00:44:12 2019', 'Tue Nov 5 00:44:12 2019', 'Tue Nov 5 00:44:13 2019', 'Tue Nov 5 00:44:13 2019', 'Tue Nov 5 00:44:14 2019', 'Tue Nov 5 00:44:14 2019', 'Tue Nov 5 00:44:14 2019', 'Tue Nov 5 00:44:15 2019', 'Tue Nov 5 00:44:15 2019', 'Tue Nov 5 00:44:16 2019', 'Tue Nov 5 00:44:16 2019', 'Tue Nov 5 00:44:16 2019', 'Tue Nov 5 00:44:17 2019', 'Tue Nov 5 00:44:17 2019', 'Tue Nov 5 00:44:18 2019', 'Tue Nov 5 00:44:18 2019', 'Tue Nov 5 00:44:18 2019', 'Tue Nov 5 00:44:19 2019', 'Tue Nov 5 00:44:19 2019', 'Tue Nov 5 00:44:20 2019', 'Tue Nov 5 00:44:20 2019', 'Tue Nov 5 00:44:20 2019', 'Tue Nov 5 00:44:21 2019', 'Tue Nov 5 00:44:21 2019', 'Tue Nov 5 00:44:22 2019', 'Tue Nov 5 00:44:22 2019', 'Tue Nov 5 00:44:22 2019', 'Tue Nov 5 00:44:23 2019', 'Tue Nov 5 00:44:23 2019', 'Tue Nov 5 00:44:24 2019', 'Tue Nov 5 00:44:24 2019'] INFO 2019-11-05 02:16:21,968Z lrauvNc4ToNetcdf.py createSeries():227 Removing them: [1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09] for variable latitude INFO 2019-11-05 02:16:22,004Z lrauvNc4ToNetcdf.py createSeries():225 longitude: v_t values found before 2019-11-05 00:38:00 and after 2019-11-05 00:44:00: [803 804 805 806 807 808 809 810 811 812 813 814 815 816 817 818 819 820 821 822 823 824 825 826 827 828 829 830 831 832 833 834 835 836 837 838 839 840 841 842 843 844 845 846 847 848 849 850 851 852 853 854 855 856 857 858 859 860 861 862 863] INFO 2019-11-05 02:16:22,011Z lrauvNc4ToNetcdf.py createSeries():226 Their times: ['Tue Nov 5 00:44:00 2019', 'Tue Nov 5 00:44:00 2019', 'Tue Nov 5 00:44:01 2019', 'Tue Nov 5 00:44:01 2019', 'Tue Nov 5 00:44:01 2019', 'Tue Nov 5 00:44:02 2019', 'Tue Nov 5 00:44:02 2019', 'Tue Nov 5 00:44:03 2019', 'Tue Nov 5 00:44:03 2019', 'Tue Nov 5 00:44:03 2019', 'Tue Nov 5 00:44:04 2019', 'Tue Nov 5 00:44:04 2019', 'Tue Nov 5 00:44:05 2019', 'Tue Nov 5 00:44:05 2019', 'Tue Nov 5 00:44:05 2019', 'Tue Nov 5 00:44:06 2019', 'Tue Nov 5 00:44:06 2019', 'Tue Nov 5 00:44:07 2019', 'Tue Nov 5 00:44:07 2019', 'Tue Nov 5 00:44:07 2019', 'Tue Nov 5 00:44:08 2019', 'Tue Nov 5 00:44:08 2019', 'Tue Nov 5 00:44:09 2019', 'Tue Nov 5 00:44:09 2019', 'Tue Nov 5 00:44:10 2019', 'Tue Nov 5 00:44:10 2019', 'Tue Nov 5 00:44:10 2019', 'Tue Nov 5 00:44:11 2019', 'Tue Nov 5 00:44:11 2019', 'Tue Nov 5 00:44:12 2019', 'Tue Nov 5 00:44:12 2019', 'Tue Nov 5 00:44:12 2019', 'Tue Nov 5 00:44:13 2019', 'Tue Nov 5 00:44:13 2019', 'Tue Nov 5 00:44:14 2019', 'Tue Nov 5 00:44:14 2019', 'Tue Nov 5 00:44:14 2019', 'Tue Nov 5 00:44:15 2019', 'Tue Nov 5 00:44:15 2019', 'Tue Nov 5 00:44:16 2019', 'Tue Nov 5 00:44:16 2019', 'Tue Nov 5 00:44:16 2019', 'Tue Nov 5 00:44:17 2019', 'Tue Nov 5 00:44:17 2019', 'Tue Nov 5 00:44:18 2019', 'Tue Nov 5 00:44:18 2019', 'Tue Nov 5 00:44:18 2019', 'Tue Nov 5 00:44:19 2019', 'Tue Nov 5 00:44:19 2019', 'Tue Nov 5 00:44:20 2019', 'Tue Nov 5 00:44:20 2019', 'Tue Nov 5 00:44:20 2019', 'Tue Nov 5 00:44:21 2019', 'Tue Nov 5 00:44:21 2019', 'Tue Nov 5 00:44:22 2019', 'Tue Nov 5 00:44:22 2019', 'Tue Nov 5 00:44:22 2019', 'Tue Nov 5 00:44:23 2019', 'Tue Nov 5 00:44:23 2019', 'Tue Nov 5 00:44:24 2019', 'Tue Nov 5 00:44:24 2019'] INFO 2019-11-05 02:16:22,018Z lrauvNc4ToNetcdf.py createSeries():227 Removing them: [1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09] for variable longitude INFO 2019-11-05 02:16:22,054Z lrauvNc4ToNetcdf.py createSeries():225 depth: v_t values found before 2019-11-05 00:38:00 and after 2019-11-05 00:44:00: [802 803 804 805 806 807 808 809 810 811 812 813 814 815 816 817 818 819 820 821 822 823 824 825 826 827 828 829 830 831 832 833 834 835 836 837 838 839 840 841 842 843 844 845 846 847 848 849 850 851 852 853 854 855 856 857 858 859 860 861 862] INFO 2019-11-05 02:16:22,062Z lrauvNc4ToNetcdf.py createSeries():226 Their times: ['Tue Nov 5 00:44:00 2019', 'Tue Nov 5 00:44:00 2019', 'Tue Nov 5 00:44:01 2019', 'Tue Nov 5 00:44:01 2019', 'Tue Nov 5 00:44:01 2019', 'Tue Nov 5 00:44:02 2019', 'Tue Nov 5 00:44:02 2019', 'Tue Nov 5 00:44:03 2019', 'Tue Nov 5 00:44:03 2019', 'Tue Nov 5 00:44:03 2019', 'Tue Nov 5 00:44:04 2019', 'Tue Nov 5 00:44:04 2019', 'Tue Nov 5 00:44:05 2019', 'Tue Nov 5 00:44:05 2019', 'Tue Nov 5 00:44:05 2019', 'Tue Nov 5 00:44:06 2019', 'Tue Nov 5 00:44:06 2019', 'Tue Nov 5 00:44:07 2019', 'Tue Nov 5 00:44:07 2019', 'Tue Nov 5 00:44:07 2019', 'Tue Nov 5 00:44:08 2019', 'Tue Nov 5 00:44:08 2019', 'Tue Nov 5 00:44:09 2019', 'Tue Nov 5 00:44:09 2019', 'Tue Nov 5 00:44:09 2019', 'Tue Nov 5 00:44:10 2019', 'Tue Nov 5 00:44:10 2019', 'Tue Nov 5 00:44:11 2019', 'Tue Nov 5 00:44:11 2019', 'Tue Nov 5 00:44:11 2019', 'Tue Nov 5 00:44:12 2019', 'Tue Nov 5 00:44:12 2019', 'Tue Nov 5 00:44:13 2019', 'Tue Nov 5 00:44:13 2019', 'Tue Nov 5 00:44:13 2019', 'Tue Nov 5 00:44:14 2019', 'Tue Nov 5 00:44:14 2019', 'Tue Nov 5 00:44:15 2019', 'Tue Nov 5 00:44:15 2019', 'Tue Nov 5 00:44:16 2019', 'Tue Nov 5 00:44:16 2019', 'Tue Nov 5 00:44:16 2019', 'Tue Nov 5 00:44:17 2019', 'Tue Nov 5 00:44:17 2019', 'Tue Nov 5 00:44:18 2019', 'Tue Nov 5 00:44:18 2019', 'Tue Nov 5 00:44:18 2019', 'Tue Nov 5 00:44:19 2019', 'Tue Nov 5 00:44:19 2019', 'Tue Nov 5 00:44:20 2019', 'Tue Nov 5 00:44:20 2019', 'Tue Nov 5 00:44:20 2019', 'Tue Nov 5 00:44:21 2019', 'Tue Nov 5 00:44:21 2019', 'Tue Nov 5 00:44:22 2019', 'Tue Nov 5 00:44:22 2019', 'Tue Nov 5 00:44:22 2019', 'Tue Nov 5 00:44:23 2019', 'Tue Nov 5 00:44:23 2019', 'Tue Nov 5 00:44:24 2019', 'Tue Nov 5 00:44:24 2019'] INFO 2019-11-05 02:16:22,070Z lrauvNc4ToNetcdf.py createSeries():227 Removing them: [1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09] for variable depth INFO 2019-11-05 02:16:22,105Z lrauvNc4ToNetcdf.py createSeries():225 time: v_t values found before 2019-11-05 00:38:00 and after 2019-11-05 00:44:00: [802 803 804 805 806 807 808 809 810 811 812 813 814 815 816 817 818 819 820 821 822 823 824 825 826 827 828 829 830 831 832 833 834 835 836 837 838 839 840 841 842 843 844 845 846 847 848 849 850 851 852 853 854 855 856 857 858 859 860 861 862] INFO 2019-11-05 02:16:22,113Z lrauvNc4ToNetcdf.py createSeries():226 Their times: ['Tue Nov 5 00:44:00 2019', 'Tue Nov 5 00:44:00 2019', 'Tue Nov 5 00:44:01 2019', 'Tue Nov 5 00:44:01 2019', 'Tue Nov 5 00:44:01 2019', 'Tue Nov 5 00:44:02 2019', 'Tue Nov 5 00:44:02 2019', 'Tue Nov 5 00:44:03 2019', 'Tue Nov 5 00:44:03 2019', 'Tue Nov 5 00:44:03 2019', 'Tue Nov 5 00:44:04 2019', 'Tue Nov 5 00:44:04 2019', 'Tue Nov 5 00:44:05 2019', 'Tue Nov 5 00:44:05 2019', 'Tue Nov 5 00:44:05 2019', 'Tue Nov 5 00:44:06 2019', 'Tue Nov 5 00:44:06 2019', 'Tue Nov 5 00:44:07 2019', 'Tue Nov 5 00:44:07 2019', 'Tue Nov 5 00:44:07 2019', 'Tue Nov 5 00:44:08 2019', 'Tue Nov 5 00:44:08 2019', 'Tue Nov 5 00:44:09 2019', 'Tue Nov 5 00:44:09 2019', 'Tue Nov 5 00:44:09 2019', 'Tue Nov 5 00:44:10 2019', 'Tue Nov 5 00:44:10 2019', 'Tue Nov 5 00:44:11 2019', 'Tue Nov 5 00:44:11 2019', 'Tue Nov 5 00:44:11 2019', 'Tue Nov 5 00:44:12 2019', 'Tue Nov 5 00:44:12 2019', 'Tue Nov 5 00:44:13 2019', 'Tue Nov 5 00:44:13 2019', 'Tue Nov 5 00:44:13 2019', 'Tue Nov 5 00:44:14 2019', 'Tue Nov 5 00:44:14 2019', 'Tue Nov 5 00:44:15 2019', 'Tue Nov 5 00:44:15 2019', 'Tue Nov 5 00:44:16 2019', 'Tue Nov 5 00:44:16 2019', 'Tue Nov 5 00:44:16 2019', 'Tue Nov 5 00:44:17 2019', 'Tue Nov 5 00:44:17 2019', 'Tue Nov 5 00:44:18 2019', 'Tue Nov 5 00:44:18 2019', 'Tue Nov 5 00:44:18 2019', 'Tue Nov 5 00:44:19 2019', 'Tue Nov 5 00:44:19 2019', 'Tue Nov 5 00:44:20 2019', 'Tue Nov 5 00:44:20 2019', 'Tue Nov 5 00:44:20 2019', 'Tue Nov 5 00:44:21 2019', 'Tue Nov 5 00:44:21 2019', 'Tue Nov 5 00:44:22 2019', 'Tue Nov 5 00:44:22 2019', 'Tue Nov 5 00:44:22 2019', 'Tue Nov 5 00:44:23 2019', 'Tue Nov 5 00:44:23 2019', 'Tue Nov 5 00:44:24 2019', 'Tue Nov 5 00:44:24 2019'] INFO 2019-11-05 02:16:22,120Z lrauvNc4ToNetcdf.py createSeries():227 Removing them: [1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09] for variable time INFO 2019-11-05 02:16:22,156Z lrauvNc4ToNetcdf.py createSeries():225 latitude: v_t values found before 2019-11-05 00:38:00 and after 2019-11-05 00:44:00: [803 804 805 806 807 808 809 810 811 812 813 814 815 816 817 818 819 820 821 822 823 824 825 826 827 828 829 830 831 832 833 834 835 836 837 838 839 840 841 842 843 844 845 846 847 848 849 850 851 852 853 854 855 856 857 858 859 860 861 862 863] INFO 2019-11-05 02:16:22,163Z lrauvNc4ToNetcdf.py createSeries():226 Their times: ['Tue Nov 5 00:44:00 2019', 'Tue Nov 5 00:44:00 2019', 'Tue Nov 5 00:44:01 2019', 'Tue Nov 5 00:44:01 2019', 'Tue Nov 5 00:44:01 2019', 'Tue Nov 5 00:44:02 2019', 'Tue Nov 5 00:44:02 2019', 'Tue Nov 5 00:44:03 2019', 'Tue Nov 5 00:44:03 2019', 'Tue Nov 5 00:44:03 2019', 'Tue Nov 5 00:44:04 2019', 'Tue Nov 5 00:44:04 2019', 'Tue Nov 5 00:44:05 2019', 'Tue Nov 5 00:44:05 2019', 'Tue Nov 5 00:44:05 2019', 'Tue Nov 5 00:44:06 2019', 'Tue Nov 5 00:44:06 2019', 'Tue Nov 5 00:44:07 2019', 'Tue Nov 5 00:44:07 2019', 'Tue Nov 5 00:44:07 2019', 'Tue Nov 5 00:44:08 2019', 'Tue Nov 5 00:44:08 2019', 'Tue Nov 5 00:44:09 2019', 'Tue Nov 5 00:44:09 2019', 'Tue Nov 5 00:44:10 2019', 'Tue Nov 5 00:44:10 2019', 'Tue Nov 5 00:44:10 2019', 'Tue Nov 5 00:44:11 2019', 'Tue Nov 5 00:44:11 2019', 'Tue Nov 5 00:44:12 2019', 'Tue Nov 5 00:44:12 2019', 'Tue Nov 5 00:44:12 2019', 'Tue Nov 5 00:44:13 2019', 'Tue Nov 5 00:44:13 2019', 'Tue Nov 5 00:44:14 2019', 'Tue Nov 5 00:44:14 2019', 'Tue Nov 5 00:44:14 2019', 'Tue Nov 5 00:44:15 2019', 'Tue Nov 5 00:44:15 2019', 'Tue Nov 5 00:44:16 2019', 'Tue Nov 5 00:44:16 2019', 'Tue Nov 5 00:44:16 2019', 'Tue Nov 5 00:44:17 2019', 'Tue Nov 5 00:44:17 2019', 'Tue Nov 5 00:44:18 2019', 'Tue Nov 5 00:44:18 2019', 'Tue Nov 5 00:44:18 2019', 'Tue Nov 5 00:44:19 2019', 'Tue Nov 5 00:44:19 2019', 'Tue Nov 5 00:44:20 2019', 'Tue Nov 5 00:44:20 2019', 'Tue Nov 5 00:44:20 2019', 'Tue Nov 5 00:44:21 2019', 'Tue Nov 5 00:44:21 2019', 'Tue Nov 5 00:44:22 2019', 'Tue Nov 5 00:44:22 2019', 'Tue Nov 5 00:44:22 2019', 'Tue Nov 5 00:44:23 2019', 'Tue Nov 5 00:44:23 2019', 'Tue Nov 5 00:44:24 2019', 'Tue Nov 5 00:44:24 2019'] INFO 2019-11-05 02:16:22,171Z lrauvNc4ToNetcdf.py createSeries():227 Removing them: [1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09] for variable latitude INFO 2019-11-05 02:16:22,207Z lrauvNc4ToNetcdf.py createSeries():225 longitude: v_t values found before 2019-11-05 00:38:00 and after 2019-11-05 00:44:00: [803 804 805 806 807 808 809 810 811 812 813 814 815 816 817 818 819 820 821 822 823 824 825 826 827 828 829 830 831 832 833 834 835 836 837 838 839 840 841 842 843 844 845 846 847 848 849 850 851 852 853 854 855 856 857 858 859 860 861 862 863] INFO 2019-11-05 02:16:22,214Z lrauvNc4ToNetcdf.py createSeries():226 Their times: ['Tue Nov 5 00:44:00 2019', 'Tue Nov 5 00:44:00 2019', 'Tue Nov 5 00:44:01 2019', 'Tue Nov 5 00:44:01 2019', 'Tue Nov 5 00:44:01 2019', 'Tue Nov 5 00:44:02 2019', 'Tue Nov 5 00:44:02 2019', 'Tue Nov 5 00:44:03 2019', 'Tue Nov 5 00:44:03 2019', 'Tue Nov 5 00:44:03 2019', 'Tue Nov 5 00:44:04 2019', 'Tue Nov 5 00:44:04 2019', 'Tue Nov 5 00:44:05 2019', 'Tue Nov 5 00:44:05 2019', 'Tue Nov 5 00:44:05 2019', 'Tue Nov 5 00:44:06 2019', 'Tue Nov 5 00:44:06 2019', 'Tue Nov 5 00:44:07 2019', 'Tue Nov 5 00:44:07 2019', 'Tue Nov 5 00:44:07 2019', 'Tue Nov 5 00:44:08 2019', 'Tue Nov 5 00:44:08 2019', 'Tue Nov 5 00:44:09 2019', 'Tue Nov 5 00:44:09 2019', 'Tue Nov 5 00:44:10 2019', 'Tue Nov 5 00:44:10 2019', 'Tue Nov 5 00:44:10 2019', 'Tue Nov 5 00:44:11 2019', 'Tue Nov 5 00:44:11 2019', 'Tue Nov 5 00:44:12 2019', 'Tue Nov 5 00:44:12 2019', 'Tue Nov 5 00:44:12 2019', 'Tue Nov 5 00:44:13 2019', 'Tue Nov 5 00:44:13 2019', 'Tue Nov 5 00:44:14 2019', 'Tue Nov 5 00:44:14 2019', 'Tue Nov 5 00:44:14 2019', 'Tue Nov 5 00:44:15 2019', 'Tue Nov 5 00:44:15 2019', 'Tue Nov 5 00:44:16 2019', 'Tue Nov 5 00:44:16 2019', 'Tue Nov 5 00:44:16 2019', 'Tue Nov 5 00:44:17 2019', 'Tue Nov 5 00:44:17 2019', 'Tue Nov 5 00:44:18 2019', 'Tue Nov 5 00:44:18 2019', 'Tue Nov 5 00:44:18 2019', 'Tue Nov 5 00:44:19 2019', 'Tue Nov 5 00:44:19 2019', 'Tue Nov 5 00:44:20 2019', 'Tue Nov 5 00:44:20 2019', 'Tue Nov 5 00:44:20 2019', 'Tue Nov 5 00:44:21 2019', 'Tue Nov 5 00:44:21 2019', 'Tue Nov 5 00:44:22 2019', 'Tue Nov 5 00:44:22 2019', 'Tue Nov 5 00:44:22 2019', 'Tue Nov 5 00:44:23 2019', 'Tue Nov 5 00:44:23 2019', 'Tue Nov 5 00:44:24 2019', 'Tue Nov 5 00:44:24 2019'] INFO 2019-11-05 02:16:22,221Z lrauvNc4ToNetcdf.py createSeries():227 Removing them: [1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09] for variable longitude INFO 2019-11-05 02:16:22,257Z lrauvNc4ToNetcdf.py createSeries():225 depth: v_t values found before 2019-11-05 00:38:00 and after 2019-11-05 00:44:00: [802 803 804 805 806 807 808 809 810 811 812 813 814 815 816 817 818 819 820 821 822 823 824 825 826 827 828 829 830 831 832 833 834 835 836 837 838 839 840 841 842 843 844 845 846 847 848 849 850 851 852 853 854 855 856 857 858 859 860 861 862] INFO 2019-11-05 02:16:22,265Z lrauvNc4ToNetcdf.py createSeries():226 Their times: ['Tue Nov 5 00:44:00 2019', 'Tue Nov 5 00:44:00 2019', 'Tue Nov 5 00:44:01 2019', 'Tue Nov 5 00:44:01 2019', 'Tue Nov 5 00:44:01 2019', 'Tue Nov 5 00:44:02 2019', 'Tue Nov 5 00:44:02 2019', 'Tue Nov 5 00:44:03 2019', 'Tue Nov 5 00:44:03 2019', 'Tue Nov 5 00:44:03 2019', 'Tue Nov 5 00:44:04 2019', 'Tue Nov 5 00:44:04 2019', 'Tue Nov 5 00:44:05 2019', 'Tue Nov 5 00:44:05 2019', 'Tue Nov 5 00:44:05 2019', 'Tue Nov 5 00:44:06 2019', 'Tue Nov 5 00:44:06 2019', 'Tue Nov 5 00:44:07 2019', 'Tue Nov 5 00:44:07 2019', 'Tue Nov 5 00:44:07 2019', 'Tue Nov 5 00:44:08 2019', 'Tue Nov 5 00:44:08 2019', 'Tue Nov 5 00:44:09 2019', 'Tue Nov 5 00:44:09 2019', 'Tue Nov 5 00:44:09 2019', 'Tue Nov 5 00:44:10 2019', 'Tue Nov 5 00:44:10 2019', 'Tue Nov 5 00:44:11 2019', 'Tue Nov 5 00:44:11 2019', 'Tue Nov 5 00:44:11 2019', 'Tue Nov 5 00:44:12 2019', 'Tue Nov 5 00:44:12 2019', 'Tue Nov 5 00:44:13 2019', 'Tue Nov 5 00:44:13 2019', 'Tue Nov 5 00:44:13 2019', 'Tue Nov 5 00:44:14 2019', 'Tue Nov 5 00:44:14 2019', 'Tue Nov 5 00:44:15 2019', 'Tue Nov 5 00:44:15 2019', 'Tue Nov 5 00:44:16 2019', 'Tue Nov 5 00:44:16 2019', 'Tue Nov 5 00:44:16 2019', 'Tue Nov 5 00:44:17 2019', 'Tue Nov 5 00:44:17 2019', 'Tue Nov 5 00:44:18 2019', 'Tue Nov 5 00:44:18 2019', 'Tue Nov 5 00:44:18 2019', 'Tue Nov 5 00:44:19 2019', 'Tue Nov 5 00:44:19 2019', 'Tue Nov 5 00:44:20 2019', 'Tue Nov 5 00:44:20 2019', 'Tue Nov 5 00:44:20 2019', 'Tue Nov 5 00:44:21 2019', 'Tue Nov 5 00:44:21 2019', 'Tue Nov 5 00:44:22 2019', 'Tue Nov 5 00:44:22 2019', 'Tue Nov 5 00:44:22 2019', 'Tue Nov 5 00:44:23 2019', 'Tue Nov 5 00:44:23 2019', 'Tue Nov 5 00:44:24 2019', 'Tue Nov 5 00:44:24 2019'] INFO 2019-11-05 02:16:22,273Z lrauvNc4ToNetcdf.py createSeries():227 Removing them: [1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09] for variable depth INFO 2019-11-05 02:16:22,309Z lrauvNc4ToNetcdf.py createSeries():225 time: v_t values found before 2019-11-05 00:38:00 and after 2019-11-05 00:44:00: [802 803 804 805 806 807 808 809 810 811 812 813 814 815 816 817 818 819 820 821 822 823 824 825 826 827 828 829 830 831 832 833 834 835 836 837 838 839 840 841 842 843 844 845 846 847 848 849 850 851 852 853 854 855 856 857 858 859 860 861 862] INFO 2019-11-05 02:16:22,316Z lrauvNc4ToNetcdf.py createSeries():226 Their times: ['Tue Nov 5 00:44:00 2019', 'Tue Nov 5 00:44:00 2019', 'Tue Nov 5 00:44:01 2019', 'Tue Nov 5 00:44:01 2019', 'Tue Nov 5 00:44:01 2019', 'Tue Nov 5 00:44:02 2019', 'Tue Nov 5 00:44:02 2019', 'Tue Nov 5 00:44:03 2019', 'Tue Nov 5 00:44:03 2019', 'Tue Nov 5 00:44:03 2019', 'Tue Nov 5 00:44:04 2019', 'Tue Nov 5 00:44:04 2019', 'Tue Nov 5 00:44:05 2019', 'Tue Nov 5 00:44:05 2019', 'Tue Nov 5 00:44:05 2019', 'Tue Nov 5 00:44:06 2019', 'Tue Nov 5 00:44:06 2019', 'Tue Nov 5 00:44:07 2019', 'Tue Nov 5 00:44:07 2019', 'Tue Nov 5 00:44:07 2019', 'Tue Nov 5 00:44:08 2019', 'Tue Nov 5 00:44:08 2019', 'Tue Nov 5 00:44:09 2019', 'Tue Nov 5 00:44:09 2019', 'Tue Nov 5 00:44:09 2019', 'Tue Nov 5 00:44:10 2019', 'Tue Nov 5 00:44:10 2019', 'Tue Nov 5 00:44:11 2019', 'Tue Nov 5 00:44:11 2019', 'Tue Nov 5 00:44:11 2019', 'Tue Nov 5 00:44:12 2019', 'Tue Nov 5 00:44:12 2019', 'Tue Nov 5 00:44:13 2019', 'Tue Nov 5 00:44:13 2019', 'Tue Nov 5 00:44:13 2019', 'Tue Nov 5 00:44:14 2019', 'Tue Nov 5 00:44:14 2019', 'Tue Nov 5 00:44:15 2019', 'Tue Nov 5 00:44:15 2019', 'Tue Nov 5 00:44:16 2019', 'Tue Nov 5 00:44:16 2019', 'Tue Nov 5 00:44:16 2019', 'Tue Nov 5 00:44:17 2019', 'Tue Nov 5 00:44:17 2019', 'Tue Nov 5 00:44:18 2019', 'Tue Nov 5 00:44:18 2019', 'Tue Nov 5 00:44:18 2019', 'Tue Nov 5 00:44:19 2019', 'Tue Nov 5 00:44:19 2019', 'Tue Nov 5 00:44:20 2019', 'Tue Nov 5 00:44:20 2019', 'Tue Nov 5 00:44:20 2019', 'Tue Nov 5 00:44:21 2019', 'Tue Nov 5 00:44:21 2019', 'Tue Nov 5 00:44:22 2019', 'Tue Nov 5 00:44:22 2019', 'Tue Nov 5 00:44:22 2019', 'Tue Nov 5 00:44:23 2019', 'Tue Nov 5 00:44:23 2019', 'Tue Nov 5 00:44:24 2019', 'Tue Nov 5 00:44:24 2019'] INFO 2019-11-05 02:16:22,323Z lrauvNc4ToNetcdf.py createSeries():227 Removing them: [1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09] for variable time INFO 2019-11-05 02:16:22,347Z lrauvNc4ToNetcdf.py processResampleNc4File():987 Creating t variable of the time indexes INFO 2019-11-05 02:16:22,353Z lrauvNc4ToNetcdf.py processResampleNc4File():1025 Variable platform_buoyancy_position empty so skipping INFO 2019-11-05 02:16:22,356Z lrauvNc4ToNetcdf.py processResampleNc4File():1025 Variable platform_elevator_angle empty so skipping INFO 2019-11-05 02:16:22,358Z lrauvNc4ToNetcdf.py processResampleNc4File():1025 Variable platform_mass_position empty so skipping INFO 2019-11-05 02:16:22,364Z lrauvNc4ToNetcdf.py processResampleNc4File():1062 Found in group NAL9602 parameter time_fix renaming to fix_time INFO 2019-11-05 02:16:22,370Z lrauvNc4ToNetcdf.py processResampleNc4File():1062 Found in group NAL9602 parameter latitude_fix renaming to fix_latitude INFO 2019-11-05 02:16:22,376Z lrauvNc4ToNetcdf.py processResampleNc4File():1062 Found in group NAL9602 parameter longitude_fix renaming to fix_longitude INFO 2019-11-05 02:16:22,378Z lrauvNc4ToNetcdf.py processResampleNc4File():1025 Variable platform_rudder_angle empty so skipping INFO 2019-11-05 02:16:22,381Z lrauvNc4ToNetcdf.py processResampleNc4File():1025 Variable platform_propeller_rotation_rate empty so skipping INFO 2019-11-05 02:16:22,383Z lrauvNc4ToNetcdf.py processResampleNc4File():1025 Variable fix_residual_percent_distance_traveled empty so skipping INFO 2019-11-05 02:16:22,385Z lrauvNc4ToNetcdf.py createSeries():225 longitude: v_t values found before 2019-11-05 00:38:00 and after 2019-11-05 00:44:00: [803 804 805 806 807 808 809 810 811 812 813 814 815 816 817 818 819 820 821 822 823 824 825 826 827 828 829 830 831 832 833 834 835 836 837 838 839 840 841 842 843 844 845 846 847 848 849 850 851 852 853 854 855 856 857 858 859 860 861 862 863] INFO 2019-11-05 02:16:22,386Z lrauvNc4ToNetcdf.py createSeries():226 Their times: ['Tue Nov 5 00:44:00 2019', 'Tue Nov 5 00:44:00 2019', 'Tue Nov 5 00:44:01 2019', 'Tue Nov 5 00:44:01 2019', 'Tue Nov 5 00:44:01 2019', 'Tue Nov 5 00:44:02 2019', 'Tue Nov 5 00:44:02 2019', 'Tue Nov 5 00:44:03 2019', 'Tue Nov 5 00:44:03 2019', 'Tue Nov 5 00:44:03 2019', 'Tue Nov 5 00:44:04 2019', 'Tue Nov 5 00:44:04 2019', 'Tue Nov 5 00:44:05 2019', 'Tue Nov 5 00:44:05 2019', 'Tue Nov 5 00:44:05 2019', 'Tue Nov 5 00:44:06 2019', 'Tue Nov 5 00:44:06 2019', 'Tue Nov 5 00:44:07 2019', 'Tue Nov 5 00:44:07 2019', 'Tue Nov 5 00:44:07 2019', 'Tue Nov 5 00:44:08 2019', 'Tue Nov 5 00:44:08 2019', 'Tue Nov 5 00:44:09 2019', 'Tue Nov 5 00:44:09 2019', 'Tue Nov 5 00:44:10 2019', 'Tue Nov 5 00:44:10 2019', 'Tue Nov 5 00:44:10 2019', 'Tue Nov 5 00:44:11 2019', 'Tue Nov 5 00:44:11 2019', 'Tue Nov 5 00:44:12 2019', 'Tue Nov 5 00:44:12 2019', 'Tue Nov 5 00:44:12 2019', 'Tue Nov 5 00:44:13 2019', 'Tue Nov 5 00:44:13 2019', 'Tue Nov 5 00:44:14 2019', 'Tue Nov 5 00:44:14 2019', 'Tue Nov 5 00:44:14 2019', 'Tue Nov 5 00:44:15 2019', 'Tue Nov 5 00:44:15 2019', 'Tue Nov 5 00:44:16 2019', 'Tue Nov 5 00:44:16 2019', 'Tue Nov 5 00:44:16 2019', 'Tue Nov 5 00:44:17 2019', 'Tue Nov 5 00:44:17 2019', 'Tue Nov 5 00:44:18 2019', 'Tue Nov 5 00:44:18 2019', 'Tue Nov 5 00:44:18 2019', 'Tue Nov 5 00:44:19 2019', 'Tue Nov 5 00:44:19 2019', 'Tue Nov 5 00:44:20 2019', 'Tue Nov 5 00:44:20 2019', 'Tue Nov 5 00:44:20 2019', 'Tue Nov 5 00:44:21 2019', 'Tue Nov 5 00:44:21 2019', 'Tue Nov 5 00:44:22 2019', 'Tue Nov 5 00:44:22 2019', 'Tue Nov 5 00:44:22 2019', 'Tue Nov 5 00:44:23 2019', 'Tue Nov 5 00:44:23 2019', 'Tue Nov 5 00:44:24 2019', 'Tue Nov 5 00:44:24 2019'] INFO 2019-11-05 02:16:22,388Z lrauvNc4ToNetcdf.py createSeries():227 Removing them: [1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09] for variable longitude INFO 2019-11-05 02:16:22,402Z lrauvNc4ToNetcdf.py processResampleNc4File():1062 Found in group DeadReckonUsingMultipleVelocitySources parameter longitude renaming to pose_longitude_DeadReckonUsingMultipleVelocitySources INFO 2019-11-05 02:16:22,404Z lrauvNc4ToNetcdf.py createSeries():225 latitude: v_t values found before 2019-11-05 00:38:00 and after 2019-11-05 00:44:00: [803 804 805 806 807 808 809 810 811 812 813 814 815 816 817 818 819 820 821 822 823 824 825 826 827 828 829 830 831 832 833 834 835 836 837 838 839 840 841 842 843 844 845 846 847 848 849 850 851 852 853 854 855 856 857 858 859 860 861 862 863] INFO 2019-11-05 02:16:22,405Z lrauvNc4ToNetcdf.py createSeries():226 Their times: ['Tue Nov 5 00:44:00 2019', 'Tue Nov 5 00:44:00 2019', 'Tue Nov 5 00:44:01 2019', 'Tue Nov 5 00:44:01 2019', 'Tue Nov 5 00:44:01 2019', 'Tue Nov 5 00:44:02 2019', 'Tue Nov 5 00:44:02 2019', 'Tue Nov 5 00:44:03 2019', 'Tue Nov 5 00:44:03 2019', 'Tue Nov 5 00:44:03 2019', 'Tue Nov 5 00:44:04 2019', 'Tue Nov 5 00:44:04 2019', 'Tue Nov 5 00:44:05 2019', 'Tue Nov 5 00:44:05 2019', 'Tue Nov 5 00:44:05 2019', 'Tue Nov 5 00:44:06 2019', 'Tue Nov 5 00:44:06 2019', 'Tue Nov 5 00:44:07 2019', 'Tue Nov 5 00:44:07 2019', 'Tue Nov 5 00:44:07 2019', 'Tue Nov 5 00:44:08 2019', 'Tue Nov 5 00:44:08 2019', 'Tue Nov 5 00:44:09 2019', 'Tue Nov 5 00:44:09 2019', 'Tue Nov 5 00:44:10 2019', 'Tue Nov 5 00:44:10 2019', 'Tue Nov 5 00:44:10 2019', 'Tue Nov 5 00:44:11 2019', 'Tue Nov 5 00:44:11 2019', 'Tue Nov 5 00:44:12 2019', 'Tue Nov 5 00:44:12 2019', 'Tue Nov 5 00:44:12 2019', 'Tue Nov 5 00:44:13 2019', 'Tue Nov 5 00:44:13 2019', 'Tue Nov 5 00:44:14 2019', 'Tue Nov 5 00:44:14 2019', 'Tue Nov 5 00:44:14 2019', 'Tue Nov 5 00:44:15 2019', 'Tue Nov 5 00:44:15 2019', 'Tue Nov 5 00:44:16 2019', 'Tue Nov 5 00:44:16 2019', 'Tue Nov 5 00:44:16 2019', 'Tue Nov 5 00:44:17 2019', 'Tue Nov 5 00:44:17 2019', 'Tue Nov 5 00:44:18 2019', 'Tue Nov 5 00:44:18 2019', 'Tue Nov 5 00:44:18 2019', 'Tue Nov 5 00:44:19 2019', 'Tue Nov 5 00:44:19 2019', 'Tue Nov 5 00:44:20 2019', 'Tue Nov 5 00:44:20 2019', 'Tue Nov 5 00:44:20 2019', 'Tue Nov 5 00:44:21 2019', 'Tue Nov 5 00:44:21 2019', 'Tue Nov 5 00:44:22 2019', 'Tue Nov 5 00:44:22 2019', 'Tue Nov 5 00:44:22 2019', 'Tue Nov 5 00:44:23 2019', 'Tue Nov 5 00:44:23 2019', 'Tue Nov 5 00:44:24 2019', 'Tue Nov 5 00:44:24 2019'] INFO 2019-11-05 02:16:22,407Z lrauvNc4ToNetcdf.py createSeries():227 Removing them: [1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09] for variable latitude INFO 2019-11-05 02:16:22,422Z lrauvNc4ToNetcdf.py processResampleNc4File():1062 Found in group DeadReckonUsingMultipleVelocitySources parameter latitude renaming to pose_latitude_DeadReckonUsingMultipleVelocitySources INFO 2019-11-05 02:16:22,423Z lrauvNc4ToNetcdf.py createSeries():225 depth: v_t values found before 2019-11-05 00:38:00 and after 2019-11-05 00:44:00: [803 804 805 806 807 808 809 810 811 812 813 814 815 816 817 818 819 820 821 822 823 824 825 826 827 828 829 830 831 832 833 834 835 836 837 838 839 840 841 842 843 844 845 846 847 848 849 850 851 852 853 854 855 856 857 858 859 860 861 862 863] INFO 2019-11-05 02:16:22,424Z lrauvNc4ToNetcdf.py createSeries():226 Their times: ['Tue Nov 5 00:44:00 2019', 'Tue Nov 5 00:44:00 2019', 'Tue Nov 5 00:44:01 2019', 'Tue Nov 5 00:44:01 2019', 'Tue Nov 5 00:44:01 2019', 'Tue Nov 5 00:44:02 2019', 'Tue Nov 5 00:44:02 2019', 'Tue Nov 5 00:44:03 2019', 'Tue Nov 5 00:44:03 2019', 'Tue Nov 5 00:44:03 2019', 'Tue Nov 5 00:44:04 2019', 'Tue Nov 5 00:44:04 2019', 'Tue Nov 5 00:44:05 2019', 'Tue Nov 5 00:44:05 2019', 'Tue Nov 5 00:44:05 2019', 'Tue Nov 5 00:44:06 2019', 'Tue Nov 5 00:44:06 2019', 'Tue Nov 5 00:44:07 2019', 'Tue Nov 5 00:44:07 2019', 'Tue Nov 5 00:44:07 2019', 'Tue Nov 5 00:44:08 2019', 'Tue Nov 5 00:44:08 2019', 'Tue Nov 5 00:44:09 2019', 'Tue Nov 5 00:44:09 2019', 'Tue Nov 5 00:44:10 2019', 'Tue Nov 5 00:44:10 2019', 'Tue Nov 5 00:44:10 2019', 'Tue Nov 5 00:44:11 2019', 'Tue Nov 5 00:44:11 2019', 'Tue Nov 5 00:44:12 2019', 'Tue Nov 5 00:44:12 2019', 'Tue Nov 5 00:44:12 2019', 'Tue Nov 5 00:44:13 2019', 'Tue Nov 5 00:44:13 2019', 'Tue Nov 5 00:44:14 2019', 'Tue Nov 5 00:44:14 2019', 'Tue Nov 5 00:44:14 2019', 'Tue Nov 5 00:44:15 2019', 'Tue Nov 5 00:44:15 2019', 'Tue Nov 5 00:44:16 2019', 'Tue Nov 5 00:44:16 2019', 'Tue Nov 5 00:44:16 2019', 'Tue Nov 5 00:44:17 2019', 'Tue Nov 5 00:44:17 2019', 'Tue Nov 5 00:44:18 2019', 'Tue Nov 5 00:44:18 2019', 'Tue Nov 5 00:44:18 2019', 'Tue Nov 5 00:44:19 2019', 'Tue Nov 5 00:44:19 2019', 'Tue Nov 5 00:44:20 2019', 'Tue Nov 5 00:44:20 2019', 'Tue Nov 5 00:44:20 2019', 'Tue Nov 5 00:44:21 2019', 'Tue Nov 5 00:44:21 2019', 'Tue Nov 5 00:44:22 2019', 'Tue Nov 5 00:44:22 2019', 'Tue Nov 5 00:44:22 2019', 'Tue Nov 5 00:44:23 2019', 'Tue Nov 5 00:44:23 2019', 'Tue Nov 5 00:44:24 2019', 'Tue Nov 5 00:44:24 2019'] INFO 2019-11-05 02:16:22,426Z lrauvNc4ToNetcdf.py createSeries():227 Removing them: [1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09] for variable depth INFO 2019-11-05 02:16:22,441Z lrauvNc4ToNetcdf.py processResampleNc4File():1062 Found in group DeadReckonUsingMultipleVelocitySources parameter depth renaming to pose_depth_DeadReckonUsingMultipleVelocitySources WARNING 2019-11-05 02:16:22,441Z lrauvNc4ToNetcdf.py processResampleNc4File():1064 'fix_residual_percent_distance_traveled' not in /mbari/LRAUV/whoidhs/missionlogs/2019/20191104_20191105/20191105T003835/201911050038_201911050044.nc4 WARNING 2019-11-05 02:16:22,441Z lrauvNc4ToNetcdf.py processResampleNc4File():1064 'longitude' not in /mbari/LRAUV/whoidhs/missionlogs/2019/20191104_20191105/20191105T003835/201911050038_201911050044.nc4 WARNING 2019-11-05 02:16:22,441Z lrauvNc4ToNetcdf.py processResampleNc4File():1064 'latitude' not in /mbari/LRAUV/whoidhs/missionlogs/2019/20191104_20191105/20191105T003835/201911050038_201911050044.nc4 WARNING 2019-11-05 02:16:22,442Z lrauvNc4ToNetcdf.py processResampleNc4File():1064 'depth' not in /mbari/LRAUV/whoidhs/missionlogs/2019/20191104_20191105/20191105T003835/201911050038_201911050044.nc4 INFO 2019-11-05 02:16:22,447Z lrauvNc4ToNetcdf.py processResampleNc4File():1025 Variable platform_battery_charge empty so skipping INFO 2019-11-05 02:16:22,451Z lrauvNc4ToNetcdf.py processResampleNc4File():1025 Variable platform_battery_voltage empty so skipping WARNING 2019-11-05 02:16:22,451Z lrauvNc4ToNetcdf.py processResampleNc4File():1064 'platform_average_current' not in /mbari/LRAUV/whoidhs/missionlogs/2019/20191104_20191105/20191105T003835/201911050038_201911050044.nc4 INFO 2019-11-05 02:16:22,467Z lrauvNc4ToNetcdf.py createSeries():225 platform_pitch_angle: v_t values found before 2019-11-05 00:38:00 and after 2019-11-05 00:44:00: [788 789 790 791 792 793 794 795 796 797 798 799 800 801 802 803 804 805 806 807 808 809 810 811 812 813 814 815 816 817 818 819 820 821 822 823 824 825 826 827 828 829 830 831 832 833 834 835 836 837 838 839 840 841 842 843 844 845] INFO 2019-11-05 02:16:22,475Z lrauvNc4ToNetcdf.py createSeries():226 Their times: ['Tue Nov 5 00:44:00 2019', 'Tue Nov 5 00:44:01 2019', 'Tue Nov 5 00:44:00 2019', 'Tue Nov 5 00:44:01 2019', 'Tue Nov 5 00:44:02 2019', 'Tue Nov 5 00:44:01 2019', 'Tue Nov 5 00:44:02 2019', 'Tue Nov 5 00:44:03 2019', 'Tue Nov 5 00:44:02 2019', 'Tue Nov 5 00:44:03 2019', 'Tue Nov 5 00:44:04 2019', 'Tue Nov 5 00:44:05 2019', 'Tue Nov 5 00:44:04 2019', 'Tue Nov 5 00:44:05 2019', 'Tue Nov 5 00:44:06 2019', 'Tue Nov 5 00:44:05 2019', 'Tue Nov 5 00:44:06 2019', 'Tue Nov 5 00:44:07 2019', 'Tue Nov 5 00:44:06 2019', 'Tue Nov 5 00:44:07 2019', 'Tue Nov 5 00:44:08 2019', 'Tue Nov 5 00:44:09 2019', 'Tue Nov 5 00:44:08 2019', 'Tue Nov 5 00:44:08 2019', 'Tue Nov 5 00:44:10 2019', 'Tue Nov 5 00:44:09 2019', 'Tue Nov 5 00:44:10 2019', 'Tue Nov 5 00:44:10 2019', 'Tue Nov 5 00:44:11 2019', 'Tue Nov 5 00:44:13 2019', 'Tue Nov 5 00:44:12 2019', 'Tue Nov 5 00:44:13 2019', 'Tue Nov 5 00:44:14 2019', 'Tue Nov 5 00:44:13 2019', 'Tue Nov 5 00:44:14 2019', 'Tue Nov 5 00:44:15 2019', 'Tue Nov 5 00:44:16 2019', 'Tue Nov 5 00:44:15 2019', 'Tue Nov 5 00:44:16 2019', 'Tue Nov 5 00:44:17 2019', 'Tue Nov 5 00:44:17 2019', 'Tue Nov 5 00:44:17 2019', 'Tue Nov 5 00:44:18 2019', 'Tue Nov 5 00:44:17 2019', 'Tue Nov 5 00:44:18 2019', 'Tue Nov 5 00:44:19 2019', 'Tue Nov 5 00:44:19 2019', 'Tue Nov 5 00:44:20 2019', 'Tue Nov 5 00:44:19 2019', 'Tue Nov 5 00:44:20 2019', 'Tue Nov 5 00:44:21 2019', 'Tue Nov 5 00:44:22 2019', 'Tue Nov 5 00:44:21 2019', 'Tue Nov 5 00:44:21 2019', 'Tue Nov 5 00:44:23 2019', 'Tue Nov 5 00:44:22 2019', 'Tue Nov 5 00:44:24 2019', 'Tue Nov 5 00:44:23 2019'] INFO 2019-11-05 02:16:22,483Z lrauvNc4ToNetcdf.py createSeries():227 Removing them: [1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291465e+09 1.57291464e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09] for variable platform_pitch_angle DEBUG 2019-11-05 02:16:22,506Z lrauvNc4ToNetcdf.py createNav():477 calling ts.resample() for pitch DEBUG 2019-11-05 02:16:22,510Z lrauvNc4ToNetcdf.py createNav():479 calling self.interpolate() for pitch INFO 2019-11-05 02:16:22,511Z lrauvNc4ToNetcdf.py createNav():489 platform_pitch_angle -> pitch: {'units': 'rad', 'standard_name': 'platform_pitch_angle', 'coordinates': 'time depth latitude longitude'} INFO 2019-11-05 02:16:22,526Z lrauvNc4ToNetcdf.py createSeries():225 platform_roll_angle: v_t values found before 2019-11-05 00:38:00 and after 2019-11-05 00:44:00: [788 789 790 791 792 793 794 795 796 797 798 799 800 801 802 803 804 805 806 807 808 809 810 811 812 813 814 815 816 817 818 819 820 821 822 823 824 825 826 827 828 829 830 831 832 833 834 835 836 837 838 839 840 841 842 843 844 845] INFO 2019-11-05 02:16:22,534Z lrauvNc4ToNetcdf.py createSeries():226 Their times: ['Tue Nov 5 00:44:00 2019', 'Tue Nov 5 00:44:01 2019', 'Tue Nov 5 00:44:00 2019', 'Tue Nov 5 00:44:01 2019', 'Tue Nov 5 00:44:02 2019', 'Tue Nov 5 00:44:01 2019', 'Tue Nov 5 00:44:02 2019', 'Tue Nov 5 00:44:03 2019', 'Tue Nov 5 00:44:02 2019', 'Tue Nov 5 00:44:03 2019', 'Tue Nov 5 00:44:04 2019', 'Tue Nov 5 00:44:05 2019', 'Tue Nov 5 00:44:04 2019', 'Tue Nov 5 00:44:05 2019', 'Tue Nov 5 00:44:06 2019', 'Tue Nov 5 00:44:05 2019', 'Tue Nov 5 00:44:06 2019', 'Tue Nov 5 00:44:07 2019', 'Tue Nov 5 00:44:06 2019', 'Tue Nov 5 00:44:07 2019', 'Tue Nov 5 00:44:08 2019', 'Tue Nov 5 00:44:09 2019', 'Tue Nov 5 00:44:08 2019', 'Tue Nov 5 00:44:08 2019', 'Tue Nov 5 00:44:10 2019', 'Tue Nov 5 00:44:09 2019', 'Tue Nov 5 00:44:10 2019', 'Tue Nov 5 00:44:10 2019', 'Tue Nov 5 00:44:11 2019', 'Tue Nov 5 00:44:13 2019', 'Tue Nov 5 00:44:12 2019', 'Tue Nov 5 00:44:13 2019', 'Tue Nov 5 00:44:14 2019', 'Tue Nov 5 00:44:13 2019', 'Tue Nov 5 00:44:14 2019', 'Tue Nov 5 00:44:15 2019', 'Tue Nov 5 00:44:16 2019', 'Tue Nov 5 00:44:15 2019', 'Tue Nov 5 00:44:16 2019', 'Tue Nov 5 00:44:17 2019', 'Tue Nov 5 00:44:17 2019', 'Tue Nov 5 00:44:17 2019', 'Tue Nov 5 00:44:18 2019', 'Tue Nov 5 00:44:17 2019', 'Tue Nov 5 00:44:18 2019', 'Tue Nov 5 00:44:19 2019', 'Tue Nov 5 00:44:19 2019', 'Tue Nov 5 00:44:20 2019', 'Tue Nov 5 00:44:19 2019', 'Tue Nov 5 00:44:20 2019', 'Tue Nov 5 00:44:21 2019', 'Tue Nov 5 00:44:22 2019', 'Tue Nov 5 00:44:21 2019', 'Tue Nov 5 00:44:21 2019', 'Tue Nov 5 00:44:23 2019', 'Tue Nov 5 00:44:22 2019', 'Tue Nov 5 00:44:24 2019', 'Tue Nov 5 00:44:23 2019'] INFO 2019-11-05 02:16:22,541Z lrauvNc4ToNetcdf.py createSeries():227 Removing them: [1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291465e+09 1.57291464e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09] for variable platform_roll_angle DEBUG 2019-11-05 02:16:22,565Z lrauvNc4ToNetcdf.py createNav():477 calling ts.resample() for roll DEBUG 2019-11-05 02:16:22,568Z lrauvNc4ToNetcdf.py createNav():479 calling self.interpolate() for roll INFO 2019-11-05 02:16:22,569Z lrauvNc4ToNetcdf.py createNav():489 platform_roll_angle -> roll: {'units': 'rad', 'standard_name': 'platform_roll_angle', 'coordinates': 'time depth latitude longitude'} INFO 2019-11-05 02:16:22,584Z lrauvNc4ToNetcdf.py createSeries():225 platform_orientation: v_t values found before 2019-11-05 00:38:00 and after 2019-11-05 00:44:00: [788 789 790 791 792 793 794 795 796 797 798 799 800 801 802 803 804 805 806 807 808 809 810 811 812 813 814 815 816 817 818 819 820 821 822 823 824 825 826 827 828 829 830 831 832 833 834 835 836 837 838 839 840 841 842 843 844 845] INFO 2019-11-05 02:16:22,592Z lrauvNc4ToNetcdf.py createSeries():226 Their times: ['Tue Nov 5 00:44:00 2019', 'Tue Nov 5 00:44:01 2019', 'Tue Nov 5 00:44:00 2019', 'Tue Nov 5 00:44:01 2019', 'Tue Nov 5 00:44:02 2019', 'Tue Nov 5 00:44:01 2019', 'Tue Nov 5 00:44:02 2019', 'Tue Nov 5 00:44:03 2019', 'Tue Nov 5 00:44:02 2019', 'Tue Nov 5 00:44:03 2019', 'Tue Nov 5 00:44:04 2019', 'Tue Nov 5 00:44:05 2019', 'Tue Nov 5 00:44:04 2019', 'Tue Nov 5 00:44:05 2019', 'Tue Nov 5 00:44:06 2019', 'Tue Nov 5 00:44:05 2019', 'Tue Nov 5 00:44:06 2019', 'Tue Nov 5 00:44:07 2019', 'Tue Nov 5 00:44:06 2019', 'Tue Nov 5 00:44:07 2019', 'Tue Nov 5 00:44:08 2019', 'Tue Nov 5 00:44:09 2019', 'Tue Nov 5 00:44:08 2019', 'Tue Nov 5 00:44:08 2019', 'Tue Nov 5 00:44:10 2019', 'Tue Nov 5 00:44:09 2019', 'Tue Nov 5 00:44:10 2019', 'Tue Nov 5 00:44:10 2019', 'Tue Nov 5 00:44:11 2019', 'Tue Nov 5 00:44:13 2019', 'Tue Nov 5 00:44:12 2019', 'Tue Nov 5 00:44:13 2019', 'Tue Nov 5 00:44:14 2019', 'Tue Nov 5 00:44:13 2019', 'Tue Nov 5 00:44:14 2019', 'Tue Nov 5 00:44:15 2019', 'Tue Nov 5 00:44:16 2019', 'Tue Nov 5 00:44:15 2019', 'Tue Nov 5 00:44:16 2019', 'Tue Nov 5 00:44:17 2019', 'Tue Nov 5 00:44:17 2019', 'Tue Nov 5 00:44:17 2019', 'Tue Nov 5 00:44:18 2019', 'Tue Nov 5 00:44:17 2019', 'Tue Nov 5 00:44:18 2019', 'Tue Nov 5 00:44:19 2019', 'Tue Nov 5 00:44:19 2019', 'Tue Nov 5 00:44:20 2019', 'Tue Nov 5 00:44:19 2019', 'Tue Nov 5 00:44:20 2019', 'Tue Nov 5 00:44:21 2019', 'Tue Nov 5 00:44:22 2019', 'Tue Nov 5 00:44:21 2019', 'Tue Nov 5 00:44:21 2019', 'Tue Nov 5 00:44:23 2019', 'Tue Nov 5 00:44:22 2019', 'Tue Nov 5 00:44:24 2019', 'Tue Nov 5 00:44:23 2019'] INFO 2019-11-05 02:16:22,599Z lrauvNc4ToNetcdf.py createSeries():227 Removing them: [1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291464e+09 1.57291465e+09 1.57291464e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291465e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09 1.57291466e+09] for variable platform_orientation DEBUG 2019-11-05 02:16:22,623Z lrauvNc4ToNetcdf.py createNav():477 calling ts.resample() for yaw DEBUG 2019-11-05 02:16:22,627Z lrauvNc4ToNetcdf.py createNav():479 calling self.interpolate() for yaw INFO 2019-11-05 02:16:22,628Z lrauvNc4ToNetcdf.py createNav():489 platform_orientation -> yaw: {'units': 'rad', 'standard_name': 'platform_yaw_angle', 'coordinates': 'time depth latitude longitude'} INFO 2019-11-05 02:16:22,628Z lrauvNc4ToNetcdf.py nudge_coords():609 /mbari/LRAUV/whoidhs/missionlogs/2019/20191104_20191105/20191105T003835/201911050038_201911050044.nc4 DEBUG 2019-11-05 02:16:22,673Z lrauvNc4ToNetcdf.py var_series():597 longitude: rad_to_deg = True DEBUG 2019-11-05 02:16:22,717Z lrauvNc4ToNetcdf.py var_series():597 latitude: rad_to_deg = True DEBUG 2019-11-05 02:16:22,751Z lrauvNc4ToNetcdf.py var_series():597 longitude_fix: rad_to_deg = False DEBUG 2019-11-05 02:16:22,784Z lrauvNc4ToNetcdf.py var_series():597 latitude_fix: rad_to_deg = False INFO 2019-11-05 02:16:22,784Z lrauvNc4ToNetcdf.py nudge_coords():627 seg# end_sec_diff end_lon_diff end_lat_diff len(segi) seg_min u_drift (cm/s) v_drift (cm/s) start datetime of segment INFO 2019-11-05 02:16:22,786Z lrauvNc4ToNetcdf.py nudge_coords():643 - - - 317 2.13 - - - INFO 2019-11-05 02:16:22,787Z lrauvNc4ToNetcdf.py nudge_coords():695 1: - - - 547 3.68 - - INFO 2019-11-05 02:16:22,787Z lrauvNc4ToNetcdf.py nudge_coords():699 Points in final series = 547 DEBUG 2019-11-05 02:16:22,788Z lrauvNc4ToNetcdf.py trackingdb_lat_lon():525 Constructing trackingdb url to 3600 seconds beyond time range of file INFO 2019-11-05 02:16:22,801Z lrauvNc4ToNetcdf.py trackingdb_lat_lon():533 http://odss.mbari.org/trackingdb/position/whoidhs_ac/between/20191104T233836/20191105T014424/data.csv INFO 2019-11-05 02:16:22,817Z lrauvNc4ToNetcdf.py trackingdb_lat_lon():556 Found 0 position values from the Tracking database INFO 2019-11-05 02:16:22,821Z lrauvNc4ToNetcdf.py processResampleNc4File():1120 ['fix_time', 'fix_latitude', 'fix_longitude', 'pose_longitude_DeadReckonUsingMultipleVelocitySources', 'pose_latitude_DeadReckonUsingMultipleVelocitySources', 'pose_depth_DeadReckonUsingMultipleVelocitySources', 'pitch', 'roll', 'yaw', 'latitude', 'longitude', 'depth', 'time'] DEBUG 2019-11-05 02:16:22,822Z lrauvNc4ToNetcdf.py write_netcdf():120 Creating netCDF file /mbari/LRAUV/whoidhs/missionlogs/2019/20191104_20191105/20191105T003835/201911050038_201911050044_2S_eng.nc DEBUG 2019-11-05 02:16:22,826Z lrauvNc4ToNetcdf.py write_netcdf():144 Adding in record variable fix_time DEBUG 2019-11-05 02:16:22,867Z lrauvNc4ToNetcdf.py write_netcdf():144 Adding in record variable time DEBUG 2019-11-05 02:16:22,868Z lrauvNc4ToNetcdf.py write_netcdf():156 Adding in record variable fix_latitude DEBUG 2019-11-05 02:16:22,870Z lrauvNc4ToNetcdf.py write_netcdf():156 Adding in record variable fix_longitude DEBUG 2019-11-05 02:16:22,871Z lrauvNc4ToNetcdf.py write_netcdf():156 Adding in record variable pose_longitude_DeadReckonUsingMultipleVelocitySources DEBUG 2019-11-05 02:16:22,873Z lrauvNc4ToNetcdf.py write_netcdf():156 Adding in record variable pose_latitude_DeadReckonUsingMultipleVelocitySources DEBUG 2019-11-05 02:16:22,874Z lrauvNc4ToNetcdf.py write_netcdf():156 Adding in record variable pose_depth_DeadReckonUsingMultipleVelocitySources DEBUG 2019-11-05 02:16:22,876Z lrauvNc4ToNetcdf.py write_netcdf():156 Adding in record variable pitch DEBUG 2019-11-05 02:16:22,877Z lrauvNc4ToNetcdf.py write_netcdf():156 Adding in record variable roll DEBUG 2019-11-05 02:16:22,883Z lrauvNc4ToNetcdf.py write_netcdf():156 Adding in record variable yaw DEBUG 2019-11-05 02:16:22,885Z lrauvNc4ToNetcdf.py write_netcdf():156 Adding in record variable latitude DEBUG 2019-11-05 02:16:22,886Z lrauvNc4ToNetcdf.py write_netcdf():156 Adding in record variable longitude DEBUG 2019-11-05 02:16:22,888Z lrauvNc4ToNetcdf.py write_netcdf():156 Adding in record variable depth DEBUG 2019-11-05 02:16:22,889Z lrauvNc4ToNetcdf.py write_netcdf():163 Adding in global metadata INFO 2019-11-05 02:16:23,006Z lrauvNc4ToNetcdf.py processResampleNc4File():1123 Wrote /mbari/LRAUV/whoidhs/missionlogs/2019/20191104_20191105/20191105T003835/201911050038_201911050044_2S_eng.nc